Self-Evolving AI Agents Are Here. Your Harness Just Became the Product.

Three weeks ago, we published an article arguing that harness engineering is the most important developer skill of 2026 — that the scaffolding you build around an AI model has 2x more impact on output quality than the model itself. Today, that thesis just evolved. Literally. On March 19, 2026, MiniMax released M2.7 — a model they describe as "our first model deeply participating in its own evolution." That sounds like marketing. It isn't. M2.7 ran 100+ autonomous optimization rounds on its own agent harness, discovering improvements no human engineer programmed, and achieving a 30% performance boost on internal benchmarks. The model didn't just execute within its scaffolding. It rewrote its scaffolding. Source: MiniMax M2.7 official announcement And MiniMax isn't alone. In the past six weeks, Karpathy open-sourced autoresearch, Google DeepMind shipped AlphaEvolve, OpenAI revealed Symphony, and Sam Altman told Stanford that "current AI models are already smart enough to help discover th